Rojas Alejandro J
Departamento de Ingeniería Eléctrica, Universidad de Concepción, Concepción 4070409, Chile.
Entropy (Basel). 2024 Mar 14;26(3):259. doi: 10.3390/e26030259.
In this work, we consider the design of power-constrained networked control systems (NCSs) and a differential entropy-based fault-detection mechanism. For the NCS design of the control loop, we consider faults in the plant gain and unstable plant pole locations, either due to natural causes or malicious intent. Since the power-constrained approach utilized in the NCS design is a stationary approach, we then discuss the finite-time approximation of the power constraints for the relevant control loop signals. The network under study is formed by two additive white Gaussian noise (AWGN) channels located on the direct and feedback paths of the closed control loop. The finite-time approximation of the controller output signal allows us to estimate its differential entropy, which is used in our proposed fault-detection mechanism. After fault detection, we propose a fault-identification mechanism that is capable of correctly discriminating faults. Finally, we discuss the extension of the contributions developed here to future research directions, such as fault recovery and control resilience.
在这项工作中，我们考虑功率受限的网络控制系统（NCS）的设计以及一种基于微分熵的故障检测机制。对于控制回路的NCS设计，我们考虑由于自然原因或恶意意图导致的被控对象增益故障和不稳定的被控对象极点位置。由于NCS设计中使用的功率受限方法是一种稳态方法，我们接着讨论相关控制回路信号功率约束的有限时间近似。所研究的网络由位于闭环控制回路的直接路径和反馈路径上的两个加性高斯白噪声（AWGN）信道组成。控制器输出信号的有限时间近似使我们能够估计其微分熵，这在我们提出的故障检测机制中得到应用。在故障检测之后，我们提出一种能够正确区分故障的故障识别机制。最后，我们讨论将此处所做的工作扩展到未来的研究方向，如故障恢复和控制弹性。
